tanatosuu / svd_gcnLinks
CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation
☆21Updated 3 years ago
Alternatives and similar repositories for svd_gcn
Users that are interested in svd_gcn are comparing it to the libraries listed below
Sorting:
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆49Updated last year
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"☆57Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆60Updated 2 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆186Updated 2 years ago
- HCCF, SIGIR 2022☆100Updated 2 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Updated last year
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated 11 months ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆32Updated 2 years ago
- ☆56Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations☆28Updated 2 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆33Updated last year
- Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"☆30Updated last year
- [KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"☆63Updated last year
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆65Updated 5 months ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆52Updated 4 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆61Updated 3 years ago
- [SIGIR'2023] "GFormer: Graph Transformer for Recommendation"☆72Updated last year
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆41Updated 3 years ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- Session-based Recommendation☆65Updated last year
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 4 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆125Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- ☆19Updated 6 months ago
- [CIKM 2024] Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation☆14Updated last year
- Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation☆26Updated last year